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Michel-13B-exl2
bartowski/Michel-13B-exl2
Michel-13B-exl2 is a text generation model from bartowski. Use it when you need the model to write or continue text. The card lists the license as agpl-3.0.
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.12"turboderp's ExLlamaV2 v0.0.12</a for quantization.
All-time downloads
30
Public
Repo size
45.6 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.json2.2 MB · 100%
At a glance
- Task
- Text Generation
- License
- agpl-3.0
- Access
- Public
- Created
- Feb 1, 2024
- Updated
- Feb 1, 2024
- SHA
- 9ee892bb
Try a prompt
Model card
From the Hugging Face model README
Exllama v2 Quantizations of Michel-13B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.12">turboderp's ExLlamaV2 v0.0.12</a> for quantization.
The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
Original model: https://huggingface.co/PotatoOff/Michel-13B
No GQA - VRAM requirements will be higher
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | Description |
|---|---|---|---|---|---|
| 6_5 | 6.5 | 8.0 | 14.4 GB | 24.0 GB | Near unquantized performance at vastly reduced size, recommended. |
| 5_0 | 5.0 | 6.0 | 12.1 GB | 21.7 GB | Slightly lower perplexity vs 6.5, can fit in 12 GB card with even lower context. |
| 4_25 | 4.25 | 6.0 | 10.9 GB | 20.5 GB | GPTQ equivalent bits per weight. |
| 3_75 | 3.75 | 6.0 | 10.1 GB | 19.7 GB | Lower quality but still generally usable. |
| 3_0 | 3.0 | 6.0 | 9.1 GB | 18.7 GB | Very low quality, not recommended unless you have to. |
VRAM requirements listed for both 4k context and 16k context since without GQA the differences are massive (9.6 GB)
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Michel-13B-exl2 Michel-13B-exl2-6_5
With huggingface hub (credit to TheBloke for instructions):
pip3 install huggingface-hub
To download the main (only useful if you only care about measurement.json) branch to a folder called Michel-13B-exl2:
mkdir Michel-13B-exl2
huggingface-cli download bartowski/Michel-13B-exl2 --local-dir Michel-13B-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
Linux:
mkdir Michel-13B-exl2-6_5
huggingface-cli download bartowski/Michel-13B-exl2 --revision 6_5 --local-dir Michel-13B-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir Michel-13B-exl2-6.5
huggingface-cli download bartowski/Michel-13B-exl2 --revision 6_5 --local-dir Michel-13B-exl2-6.5 --local-dir-use-symlinks False
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
- Task
- Text Generation
- License
- agpl-3.0
- Languages
- en
- Created
- Feb 1, 2024
- Updated
- Feb 1, 2024